The International Conference on
Information Processing in Sensor Networks (IPSN) is a leading,
single-track, annual forum on sensor network research. IPSN brings
together researchers from academia, industry, and government to present
and discuss recent advances in both theoretical and experimental
research. Its scope includes signal and image processing, information
and coding theory, databases and information management, distributed
algorithms, networks and protocols, wireless communications, machine
learning, and embedded systems design.

The conference features two interleaved tracks, the Information
Processing (IP) track, and the Sensor Platforms, Tools and Design
Methods (SPOTS) track. The two tracks have separate program committees
to evaluate their submissions. Authors should carefully review the
intended foci of these two tracks to decide which track is better
suited for their work, and they are encouraged to contact program
chairs with questions or clarifications.

The Information Processing (IP) track focuses on algorithms, theory,
and systems for information processing using networks of embedded
sensors. Topics covered in this track include, but are not
limited to:

The Sensor Platforms, Tools, and Design Methods (SPOTS) track focuses
on new hardware and software architectures, modeling, evaluation,
deployment experiences, design methods, implementations, and tools for
networked embedded sensor systems. Submissions are expected to
refer to specific hardware, software, and implementations.
Results focused on the analysis and processing aspects of data
collected from deployments should be submitted to the IP track, while
details on the hardware and software platforms and tools used in the
deployment should be submitted to SPOTS. Topics covered in the SPOTS
track include, but are not limited to:

Anish Arora, The Ohio State University
Nirupama Bulusu, Portland State University
Qing Cao, University of Tennessee
Peter Corke, Queensland University of Technology
Prabal Dutta, University of Michigan
Carlo Fischione, Royal Institute of Technology
John Fisher III, Massachusetts Institute of Technology
Deepak Ganesan, University of Massachusetts, Amherst
Mikael Johansson, KTH, Royal Institute of Technology
Aman Kansal, Microsoft Research
Bhaskar Krishnamachari, University of Southern California
Santosh Kumar, University of Memphis
Jie Liu, Microsoft Research
Miklos Maroti, University of Szeged
Urbashi Mitra, University of Southern California
Luca Mottola, Swedish Institute of Computer Science
Kannan Ramchandran, University of California at Berkeley
Fabio Ramos, University of Sydney
Utz Roedig, Lancaster University
Venkatesh Saligrama, Boston University
Paolo Santi, IIT-CNR
Andreas Savvides, Yale University
Venugopal Veeravalli, University of Illinois at Urbana-Champaign